code: def cfg(self):
      cfg = {
          "bz": random.randint(1, 7),
          "sq": random.randint(2, 7),
          "sk": random.randint(2, 7),
          "head": random.randint(1, 7),
          "layer_number": random.randint(1, 7),
          "device": torch.cuda.current_device(),
      }
      # flash attention requires head dimensions are multiples of 8
      head_dim = random.randint(1, 7) * 8
      cfg["hidden"] = cfg["head"] * head_dim
  
      return cfg
  
file_path: NeMo/tests/collections/nlp/test_flash_attention.py
imports: import random
  import pytest
  import torch
  from megatron.core import ModelParallelConfig
  from pytorch_lightning.trainer.trainer import Trainer
  from nemo.collections.nlp.modules.common.megatron.attention import CoreAttention
  from nemo.collections.nlp.modules.common.megatron.megatron_init import initialize_model_parallel_for_nemo
  from nemo.collections.nlp.modules.common.megatron.utils import build_attention_mask_3d
  from nemo.collections.nlp.parts.nlp_overrides import NLPDDPStrategy
label_desc: Use image node_id 2 for calling the TestFlashAttention obj's underlying member method code with example usage: obj.cfg() and returns: cfg